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논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 엄영익
- 발행연도
- 2014
- 저작권
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이 논문의 연구 히스토리 (3)
2014
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Today, the virtualization is a very important technology which is widely used in various area, from small mobile devices to virtual machine (VM) servers for large scale cloud computing. Now, hypervisor provides CPU and memory resources for the VMs with high performance like native machine through many researches on the virtualized environment. However, device virtualization techniques, especially those for GPU devices, are less studied than the other virtualization techniques. It is a chief obstacle to perform graphics processing in the virtualized environment. Since VM cannot access the physical GPU device directly, existing GPU device virtualization techniques have some limitations on 3D acceleration. Especially, those techniques spend more time to perform graphics processing because they use software rendering on the Mesa Software Fallback module in the guest OS.
In this paper, we propose a GPU device virtualization technique that can improve OpenGL graphics performance. By using concurrent I/O request queue between the host emulation process and the guest OS, GPU device can be accessed directly. Our scheme can avoid graphics processing in the graphics stack of the guest OS and also can reduce vmexit overheads. The emulation process can perform the graphics processing using GPU hardware rendering. Our evaluation shows that the proposed technique has about 2.5x higher frame rate than existing Mesa software rendering.
In this paper, we propose a GPU device virtualization technique that can improve OpenGL graphics performance. By using concurrent I/O request queue between the host emulation process and the guest OS, GPU device can be accessed directly. Our scheme can avoid graphics processing in the graphics stack of the guest OS and also can reduce vmexit overheads. The emulation process can perform the graphics processing using GPU hardware rendering. Our evaluation shows that the proposed technique has about 2.5x higher frame rate than existing Mesa software rendering.
목차
Abstract 11. INTRODUCTION 32. BACKGROUND 52.1 Virtualization 52.2 Direct Rendering Infra structure (DRI) 82.3 Mesa 3D 103. DESIGN AND ARCHITECTURE 123.1 Motivation 123.2 GPU Device Virtualization Techniques 143.3 Scalability 164. IMPLEMENTATION 184.1 Para-virtualized Device 184.2 Para-virtualized Device Driver 215. EVALUATION 235.1 Evaluation Setup 255.2 Experimental Results 266. RELATED WORKS 297. CONCLUSION 33Reference 35Korean Abstract 39
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